Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography.

Journal of visualized experiments : JoVE·2016
Same author

MiR-15a contributes abnormal immune response in myasthenia gravis by targeting CXCL10.

Clinical immunology (Orlando, Fla.)·2016
Same author

Minicells, Back in Fashion.

Journal of bacteriology·2016
Same author

A new variant of rabbit hemorrhagic disease virus G2-like strain isolated in China.

Virus research·2016
Same author

Tumour-suppressive role of PTPN13 in hepatocellular carcinoma and its clinical significance.

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine·2016
Same author

Gonyautoxin 1/4 aptamers with high-affinity and high-specificity: From efficient selection to aptasensor application.

Biosensors & bioelectronics·2016
Same journal

Peripheral and central vestibular neuromodulation improve postural control in adolescent idiopathic scoliosis: a randomized, sham-controlled, multi-arm intervention study.

Journal of neuroengineering and rehabilitation·2026
Same journal

Ankle-foot orthosis mechanical testing: a scoping review.

Journal of neuroengineering and rehabilitation·2026
Same journal

Neuromechanical synergy patterns explain metabolic efficiency differences during the sit-to-walk transition.

Journal of neuroengineering and rehabilitation·2026
Same journal

The classification of walking and phases of gait using EEG: a scoping review.

Journal of neuroengineering and rehabilitation·2026
Same journal

Biohybrid cochlear implants: neural interfaces, regenerative pathways, and translational benchmarks.

Journal of neuroengineering and rehabilitation·2026
Same journal

Transcutaneous spinal stimulation with upper extremity robotic training in chronic stroke and spinal cord injury: individual neurophysiological and clinical responses.

Journal of neuroengineering and rehabilitation·2026
查看所有相关文章

相关实验视频

Updated: May 7, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

279

通过不同的sEMG措施,探索与手势相关的特定模式组件.

Yangyang Yuan1, Jionghui Liu2, Chenyun Dai3

  • 1School of Information Science and Technology, Fudan University, Shanghai, 200433, China.

Journal of neuroengineering and rehabilitation
|December 31, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种方法,用于改进人机交互中的手势识别,使用表面电肌图 (sEMG) 信号. 通过将个人特异性与手势特异性模式分开,新方法提高了跨用户识别预期运动的准确性.

关键词:
自动编码自动编码功能投影的特点投影.在手势识别,手势识别.表面电力学图 (surface electromyography) 是一种表面电力学图.

更多相关视频

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

752
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.4K

相关实验视频

Last Updated: May 7, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

279
Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

752
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.4K

科学领域:

  • 生物医学工程 生物医学工程
  • 人与计算机的交互
  • 信号处理 信号处理

背景情况:

  • 表面电肌图 (sEMG) 对于人机交互至关重要,但对象特定的信号变化阻碍了跨用户的手势识别.
  • 由于sEMG信号的固有个体差异,现有的模型往往会在新用户面前失败.

研究的目的:

  • 假设和验证sEMG信号中的特定模式组件的存在,独立于个人用户.
  • 通过隔离这些模式特定组件,为跨主体场景开发一个可通用的手势识别模型.
  • 为了比较不同的sEMG特征类型 (波形,时间域,频域) 在捕获模式特定信息中的有效性.

主要方法:

  • 使用自动编码器从sEMG数据中解脱特定主体和特定模式的组件.
  • 开发了一个使用提取的特定模式组件的一般手势识别模型.
  • 分析和比较跨信号波形,时间域和频率域特征的特定模式信息.
  • 使用热图可视化特定模式组件,并探索它们的生理解释性.

主要成果:

  • 成功验证了sEMG信号中模式特定组件的假设.
  • 时间和频率域特征的组合产生了最高的手势分类准确度 (84.3%).
  • 频域特征单独表现出优异的性能,并且在组件分离方面最有效.
  • 视觉化证实了特定模式组件的生理相关性,与肌肉激活区域相关联.

结论:

  • 提出的方法有效地将手势特异性模式与sEMG信号的个体变异分开,从而实现了强大的跨主体手势识别.
  • 结合时间和频率域特征,为基于sEMG的准确和可概括的手势分类提供了最有前途的方法.
  • 频域特征特别适合提取可概括的手势模式,并有可能进行进一步的生理解释.